# duliangkuan/deepinfer-studio

> A browser-based educational workbench for learning LLM inference concepts. It simulates VRAM budgets, batch sizes, prefill/decode stages and OOM troubleshooting without a GPU.

- Magnitude: 4.6 out of 10 — Early signal
- Stars: 111 total · +0 stars measured 2026-10-22, 00:37–04:08 UTC, ≈ 73 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · License: Apache-2.0 · Created: 2026-10-20 · Last push: 2026-10-20
- GitHub: https://github.com/duliangkuan/deepinfer-studio · Homepage: https://deepinferstudio.com · Page: https://gitnova.dev/en/r/duliangkuan/deepinfer-studio

## Useful for

- Study batch size and VRAM trade-offs in the interactive simulator
- Walk through prefill and decode stage timing breakdowns as a teaching exercise
- Practice diagnosing out-of-memory failures in the simulated scenario

## Why it’s here

- Star-counter measurements on 2026-10-22 (UTC), 00:37–04:08: 111 → 111 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +73 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 111 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #196.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 1
- Issues and pull requests: 1
- Watchers: 0
- Average over the last week: 61 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-20 … 2026-10-22: 3, 108, 0

## Spotted in now

- Top new repositories this week: #196

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-22 04:18 UTC, updated every 30 minutes.